Events calendar
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Lunch at Denmark Hill
Meet with other staff & students & enjoy a (free!) light lunch in the Denmark Hill Chaplaincy.
Discover the Mystery of the 22 Hebrew Letters
A course exploring the Hebrew Aleph-Bait (Alpha-Bet).
International Lunch at Waterloo
Meet with other staff & students & enjoy a (free!) light lunch on Tuesdays in term time.
2024 CHRO's Idea Incubator
Join us at the annual CHRO Idea Incubator event, where a collaborative space awaits HR executives to cultivate innovative ideas that can transform the...
Dean's Office Book Club at Waterloo
An opportunity to read and discuss 'All the Light We Cannot See' by Anthony Doerr.
Tech Trailblazers: Advancing Virtual and Immersive Technologies
An online ‘in conversation’ session with Professor Sarah Atkinson and three of the GLOW exhibition contributors who have each made significant advances in...
Preparation for oral exams: Mandarin Stages 1 & 2
Prepare for your Mandarin oral exams with this interactive session!
Choral Evensong at the Strand
A service of words and music every Tuesday in term time with the Choir of King's College London.
Rumble Fund Lecture 2024: Professor Michael Squire
The Eye of the Mirror: Sight and Subjectivity in Classical Greek Art
Tort in the Courts guest lectures
In this lecture, Simeon Maskrey KC (7 Bedford Row) will discuss the seminal decision of the UK Supreme Court in Paul
King's Experts Series: the Ethics of AI
The King’s Experts Series is a series of events exclusively for King’s alumni, this webinar will touch on some of the latest research on digital technology...
Mindfulness with Jenny - Online
A session of guided mindfulness. All students and staff are welcome, no prior experience necessary..
Ruth Waters: Swallow Up
In 2019, artist Ruth Waters travelled to Japan to interview space psychologist Tomio Kinoshita and astronaut Naoko Yamazaki. Their discussions unveiled the...
Financial Policy & Regulation MSc - Information Session 2024
Find out more about our Financial Policy & Regulation MSc
Large language models show human-like content biases in transmission chain experiments
As the use of Large Language Models (LLMs) grows, it is important to examine if they exhibit biases in their output.
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